Results 261 to 270 of about 3,745,728 (280)

Unsupervised feature selection with evolutionary sparsity

Neural Networks
The ℓ2,0-norm is playing an increasingly important role in unsupervised feature selection. However, existing algorithm for optimization problem with ℓ2,0-norm constraint has two problems: First, they cannot automatically determine the sparsity, also known as the number of key features.
Shixuan Zhou, Yi Xiang 0002, Han Huang 0002, Pei Huang 0019, Chaoda Peng, Xiaowei Yang 0003, Peng Song   +6 more
openaire   +2 more sources

Unsupervised Feature Selection with Feature Clustering

2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012
Yiu-ming Cheung, Hong Jia
openaire   +1 more source

Unsupervised Feature Selection for Text Data

2006
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a need for tools that can operate without the supervision of the user. In this paper we look at novel feature selection techniques that address this need.
Nirmalie Wiratunga, Robert Lothian, Stewart Massie   +2 more
openaire   +1 more source

Unsupervised Feature Selection by Graph Optimization

2015
Graph based methods have played an important role in machine learning due to their ability to encode the similarity relationships among data. A commonly used criterion in graph based feature selection methods is to select the features which best preserve the data similarity or a manifold structure derived from the entire feature set.
Zhihong Zhang 0001, Lu Bai 0001, Yuanheng Liang, Edwin R. Hancock   +3 more
openaire   +2 more sources

Pairwise dependence-based unsupervised feature selection

Pattern Recognition, 2021
Dae-Won Kim, Hyunki Lim
exaly  

A new Unsupervised Spectral Feature Selection Method for mixed data: A filter approach

Pattern Recognition, 2017
José Francisco Martínez-Trinidad, Saul Solorio-Fernández, J Ariel Carrasco-Ochoa   +2 more
exaly  

Subspace learning for unsupervised feature selection via matrix factorization

Pattern Recognition, 2015
Shiping Wang, William Zhu, Qingxin Zhu   +2 more
exaly  

Unsupervised feature selection by regularized self-representation

Pattern Recognition, 2015
Qinghua Hu, Wangmeng Zuo
exaly  

Unsupervised feature selection using clustering ensembles and population based incremental learning algorithm

Pattern Recognition, 2008
Yi Hong, Yuchou Chang
exaly  

Unsupervised feature selection with multi-subspace randomization and collaboration

Knowledge-Based Systems, 2019
Chang-Dong Wang, Dong Huang
exaly